| export CUDA_VISIBLE_DEVICES=1 | |
| python -u pcomol_locked_rates.py \ | |
| --config /scratch/pranamlab/tong/pCoMol/configs/config_gfp.yaml \ | |
| --ckpt /scratch/pranamlab/tong/pCoMol/gfp/ckpt/GFP_EditFlows.ckpt \ | |
| --num_steps 10 \ | |
| --num_candidates 50 \ | |
| --num_rollouts 10 \ | |
| --objective_weights 1 1 \ | |
| --output_file '/scratch/pranamlab/tong/pCoMol/gfp/samples/eGFP_v2/gfp.csv' \ | |
| --input 'MVSKGEELFTGVVPILVELDGDVNGHKFSVSGEGEGDATYGKLTLKFICTTGKLPVPWPTLVTTLTYGVQCFSRYPDHMKQHDFFKSAMPEGYVQERTIFFKDDGNYKTRAEVKFEGDTLVNRIELKGIDFKEDGNILGHKLEYNYNSHNVYIMADKQKNGIKVNFKIRHNIEDGSVQLADHYQQNTPIGDGPVLLPDNHYLSTQSALSKDPNEKRDHMVLLEFVTAAGITLGMDELYK' \ | |
Xet Storage Details
- Size:
- 614 Bytes
- Xet hash:
- 59706cb004e6a4a9fbf2095200dfc5b62469f958dc286166378c4b4439000ce9
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.